Critical Care

Is generative artificial intelligence the next step toward a personalized hemodialysis?

Artificial intelligence (AI) generative models driven by the integration of AI and natural language processing technologies, such as OpenAI's chatbot generative pre-trained transformer large language model (LLM), are receiving much public attention and have the potential to transform personalized medicine. Dialysis patients are highly dependent on technology and their treatment generates a challen...

Unexpectedly Prolonged Serotonin Syndrome and Fatal Complications Following a Massive Overdose of Paroxetine Controlled-Release.

Symptoms caused by a selective serotonin reuptake inhibitor (SSRI) overdose are often mild and can be managed with supportive care and close monitoring, even when complicated by serotonin syndrome. There are limited pharmacokinetic data regarding massive overdoses of paroxetine, and the severity of an SSRI overdose is likely to be underestimated. We describe a fatal case of severe serotonin syndro...

The effect of intelligent management interventions in intensive care units to reduce false alarms: An integrative review.

OBJECTIVE: In intensive care units (ICU), frequent false alarms from medical equipment can cause alarm fatigue among nurses, which might lead to delay...

Efficiency of face mask ventilation before and after neuromuscular blockade: A randomised, double-blind controlled study.

BACKGROUND AND AIMS: The traditional practice of administrating neuromuscular blocking drugs (NMBDs) after checking face mask ventilation is challenge...

Factors associated with decreased compliance after on-site extracorporeal membrane oxygenation cannulation for acute respiratory distress syndrome: A retrospective, observational cohort study.

BACKGROUND: Extracorporeal membrane oxygenation (ECMO) for acute respiratory distress syndrome (ARDS) is systematically associated with decreased resp...

Deep learning-based dynamic ventilatory threshold estimation from electrocardiograms.

BACKGROUND AND OBJECTIVE: The ventilatory threshold (VT) marks the transition from aerobic to anaerobic metabolism and is used to assess cardiorespira...

Online advance respiration prediction model for percutaneous puncture robotics.

PURPOSE: Surgical robots have significant research value and clinical significance in the field of percutaneous punctures. There have been numerous st...

Artificial intelligence in the NICU to predict extubation success in prematurely born infants.

OBJECTIVES: Mechanical ventilation in prematurely born infants, particularly if prolonged, can cause long term complications including bronchopulmonar...

The Pediatric Data Science and Analytics Subgroup of the Pediatric Acute Lung Injury and Sepsis Investigators Network: Use of Supervised Machine Learning Applications in Pediatric Critical Care Medicine Research.

OBJECTIVE: Perform a scoping review of supervised machine learning in pediatric critical care to identify published applications, methodologies, and i...

Fixed, Dilated, and Cannulated - Medical Management of Elevated Intracranial Pressures due to a Large Intracranial Hemorrhage in a Patient on Veno-Venous Extracorporeal Membrane Oxygenation: Case Report.

A 40-year-old woman presented with mediastinitis, necrotizing pancreatitis, and severe acute respiratory distress syndrome with refractory acidemia (p...

Pattern recognition of forced oscillation technique measurement results using deep learning can identify asthmatic patients more accurately than setting reference ranges.

No official clinical reference values have been established for MostGraph, which measures total respiratory resistance and reactance using the forced ...

Deep learning-driven multi-view multi-task image quality assessment method for chest CT image.

BACKGROUND: Chest computed tomography (CT) image quality impacts radiologists' diagnoses. Pre-diagnostic image quality assessment is essential but lab...

Novel Preoperative Risk Stratification Using Digital Phenotyping Applying a Scalable Machine-Learning Approach.

BACKGROUND: Classification of perioperative risk is important for patient care, resource allocation, and guiding shared decision-making. Using discrim...

Kidney Function and Physical Performance Decline: The Brain in Kidney Disease (BRINK) Cohort Study.

RATIONALE & OBJECTIVE: Patients with kidney failure have poor physical performance, but its trajectory is less clear. We examined physical function ov...

m5UMCB: Prediction of RNA 5-methyluridine sites using multi-scale convolutional neural network with BiLSTM.

As a prevalent RNA modification, 5-methyluridine (mU) plays a critical role in diverse biological processes and disease pathogenesis. High-throughput ...

The effect and exploration of continuous positive pressure ventilation combined with upper limb robot training on upper limb function in stroke patients with OSAHS.

Empowering COVID-19 detection: Optimizing performance through fine-tuned EfficientNet deep learning architecture.

The worldwide COVID-19 pandemic has profoundly influenced the health and everyday experiences of individuals across the planet. It is a highly contagi...

FIT-graph: A multi-grained evolutionary graph based framework for disease diagnosis.

Early assessment, with the help of machine learning methods, can aid clinicians in optimizing the diagnosis and treatment process, allowing patients t...

Microchip Versus Piezoelectric Point of Care Ultrasonography for Pulmonary and Vena Cava Evaluation in Patients With Acute Kidney Injury.

INTRODUCTION: Point-of-care ultrasonography (POCUS) has emerged as an important tool for examining critically ill patients. POCUS devices have become ...

European Nephrologists' Attitudes toward the Application of Artificial Intelligence in Clinical Practice: A Comprehensive Survey.

INTRODUCTION: The rapid advancement of artificial intelligence and big data analytics, including descriptive, diagnostic, predictive, and prescriptive...